Systems, methods, and storage media for training a machine learning model

A system, the system comprising:

• one or more hardware processors configured by machine-readable instructions to:
• access a web-based property over a network, the web-based property containing a plurality of images;
• extract an image and image metadata associated with the image from the web-based property;
• determine a target audience for the web-based property;
• identify a training data set that corresponds to the determined target audience;
• aggregate the image and the image metadata into the training data set based on the target audience for the web-based property;
• and
• train a machine learning model with the training data set with the aggregated image and image metadata.

A non-transitory computer-readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method, the method comprising:

• accessing a web-based property over a network, the web-based property containing a plurality of images;
• extracting an image and image metadata associated with the image from the web-based property;
• determining a target audience for the web-based property;
• identifying a training data set that corresponds to the determined target audience;
• aggregating the image and the image metadata into the training data set based on the target audience for the web-based property;
• and
• training a machine learning model with the training data set with the aggregated image and image metadata.